Energy-efficient artificial intelligence using quantum technologies

人工智能(AI)正在改变社会，但标准技术也伴随着巨大的隐性成本：即使是一种单一、常见的学习模式，其二氧化碳排放量也可能是普通汽车终身排放量的5倍。该奖学金旨在利用澳大利亚在量子技术方面的重大投资来开发人工智能平台，以绕过传统的人工智能方法。预期的结果是高效运行的神经形态计算机--以低能源成本--并迅速实现传统电子方法无法实现的速度。预期的好处是人工智能的变革性技术，全社会的新应用，以及探索大脑功能和认知的新工具。

Artificial intelligence (AI) is transforming society but standard technologies come with significant hidden costs: training even a single, common, learning model can emit 5 times more carbon dioxide than the lifetime emissions of the average car. This Fellowship aims to develop artificial intelligence platforms using Australia’s significant investment in quantum technologies to bypass traditional approaches to AI. The expected outcomes are neuromorphic computers that operate efficiently—with low-energy cost—and rapidly—achieving speeds impossible with conventional electronic approaches. The anticipated benefits are transformative technologies for AI, new applications across society, and new tools for exploring brain function and cognition.